Files
SnapOtter/packages/ai/src/seam-carving.ts
T
SnapOtter b06906025c refactor: improve tool processing, dropzone, seam carving, and format encoding
- Refactor use-tool-processor and use-pipeline-processor hooks
- Enhance dropzone component with improved UX
- Improve seam carving with better error handling and tests
- Add JXL format encoding support to format-encoders
- Update tool routes for consistent format handling
- Add dropzone unit tests
2026-05-11 21:57:40 +08:00

148 lines
4.7 KiB
TypeScript

import { execFile } from "node:child_process";
import { randomUUID } from "node:crypto";
import { readFile, rm, writeFile } from "node:fs/promises";
import { join } from "node:path";
import { promisify } from "node:util";
import sharp from "sharp";
const execFileAsync = promisify(execFile);
export interface SeamCarveOptions {
width?: number;
height?: number;
protectFaces?: boolean;
blurRadius?: number;
sobelThreshold?: number;
square?: boolean;
}
export interface SeamCarveResult {
buffer: Buffer;
width: number;
height: number;
}
/**
* Discover the caire binary. Checks PATH (Docker installs to /usr/local/bin)
* and the CAIRE_PATH env var for local development.
*/
let cachedCairePath: string | null = null;
async function findCaire(): Promise<string> {
if (cachedCairePath) return cachedCairePath;
const candidates = process.env.CAIRE_PATH ? [process.env.CAIRE_PATH, "caire"] : ["caire"];
for (const cmd of candidates) {
try {
await execFileAsync(cmd, ["-help"], { timeout: 5_000 });
cachedCairePath = cmd;
return cmd;
} catch {
// try next
}
}
throw new Error(
"caire binary not found. Install via: go install github.com/esimov/caire/cmd/caire@v1.5.0",
);
}
/**
* Content-aware resize using caire (Go seam carving engine).
* Supports both shrinking and enlarging via seam removal/insertion.
* Processes at native resolution -- JPEG intermediate is used because
* Go's JPEG decoder is significantly faster than PNG for large images.
*/
export async function seamCarve(
inputBuffer: Buffer,
outputDir: string,
options: SeamCarveOptions = {},
): Promise<SeamCarveResult> {
const cairePath = await findCaire();
const id = randomUUID();
const inputPath = join(outputDir, `caire-in-${id}.jpg`);
const outputPath = join(outputDir, `caire-out-${id}.png`);
try {
const meta = await sharp(inputBuffer).metadata();
const width = meta.width ?? 0;
const height = meta.height ?? 0;
const megapixels = (width * height) / 1_000_000;
const MAX_MP = 25;
if (megapixels > MAX_MP) {
throw new Error(
`Image is too large for content-aware resize (${megapixels.toFixed(1)} MP, max ${MAX_MP} MP). Resize the image to a smaller size first.`,
);
}
let targetW = options.width ?? width;
let targetH = options.height ?? height;
if (options.square) {
const shortest = Math.min(options.width ?? width, options.height ?? height, width, height);
targetW = shortest;
targetH = shortest;
}
const wRatio = targetW / width;
const hRatio = targetH / height;
let currentW = width;
let currentH = height;
let preResizedBuffer = inputBuffer;
// Seam carving can only reduce each axis by ~75% per pass. If the target
// is further away, do a standard resize first to bring it within range.
const MIN_RATIO = 0.25;
if (wRatio < MIN_RATIO || hRatio < MIN_RATIO) {
const safeW = Math.max(targetW, Math.ceil(width * MIN_RATIO));
const safeH = Math.max(targetH, Math.ceil(height * MIN_RATIO));
const preResized = sharp(inputBuffer).resize(safeW, safeH, { fit: "inside" });
preResizedBuffer = await preResized.toBuffer();
const preMeta = await sharp(preResizedBuffer).metadata();
currentW = preMeta.width ?? safeW;
currentH = preMeta.height ?? safeH;
}
const processBuffer = await sharp(preResizedBuffer).jpeg({ quality: 95 }).toBuffer();
await writeFile(inputPath, processBuffer);
const args = ["-in", inputPath, "-out", outputPath, "-preview=false"];
if (options.square) {
const shortest = Math.min(currentW, currentH);
const caireTarget = Math.min(shortest, targetW);
args.push("-square", "-width", String(caireTarget), "-height", String(caireTarget));
} else {
if (options.width) {
args.push("-width", String(options.width));
}
if (options.height) {
args.push("-height", String(options.height));
}
}
if (options.protectFaces) args.push("-face");
if (options.blurRadius !== undefined) args.push("-blur", String(options.blurRadius));
if (options.sobelThreshold !== undefined) args.push("-sobel", String(options.sobelThreshold));
const currentMp = (currentW * currentH) / 1_000_000;
const timeoutMs = Math.ceil(Math.max(120_000, currentMp * 10_000));
await execFileAsync(cairePath, args, { timeout: timeoutMs });
const buffer = await readFile(outputPath);
const outMeta = await sharp(buffer).metadata();
return {
buffer,
width: outMeta.width ?? 0,
height: outMeta.height ?? 0,
};
} finally {
await rm(inputPath, { force: true }).catch(() => {});
await rm(outputPath, { force: true }).catch(() => {});
}
}